What are Chatbots ??

Even if you haven't held a discussion with Siri or Alexa, you've likely experienced a chatbot on the web. They regularly show up in a visit window that springs up with a friendly welcome

Depending upon the site, you may get some information about a wrecked machine in your home or ask about speculation counsel. The chatbot is modified to react as needs be and even ask follow-up questions.

From client care chatbots online to personal assistants in our homes, chatbots have begun to pervade our lives, and they're frequently useful. Be that as it may, how accomplish they work? Furthermore, how might we grow their abilities in the business world? In this article, we'll clarify the advancements that power chatbots and investigate how you can use them with analytics.

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What does a Chatbot actually mean........

Chatbots are a form of conversational AI designed to simplify human interaction with computers. Using chatbots, computers can understand and react to human contribution through communicated in or composed language.

"Chatbots can be programmed to react to basic keywords or prompts, or to hold complex conversations about specific topics," says Mary Beth Moore, an AI and Language Analytics Strategist at SAS. "They range in unpredictability from information retrieval using keyword  matches to active learning capabilities that give top to bottom reactions and tailored suggestions based on past conversations."

Many industries use chatbots to improve or streamline customer service and e-commerce. Consider these primary applications for chatbots:

• Customer service chatbots :Many businesses are using chatbots as a first contact when customers need help. In almost every industry, companies employ chatbots to help customers easily navigate their websites, answer simple questions and direct people to the relevant purposes of contact.
• E-Commerce chatbots :Retail companies and telecommunication providers use chatbots as an additional interaction channel with their customers. The bot is designed to lead customers through a linear process stream to complete requests or transactions.
• Virtual Assistance chatbots :Personal assistants like Siri, Cortana and Alexa have risen in popularity as their benefits have become readily available and easily embedded into the daily life of consumers. People use them to rapidly retrieve information, schedule appointments and interact with smart home features.

"Chatbots are programmed to simulate human conversation and exhibit intelligent behavior that is equivalent to that of a human."

How do chatbots work ??

Chatbots communicate through speech or text. Both rely on artificial intelligence technologies like machine learning and natural language processing.

Natural language processing is a branch of artificial intelligence that teaches machines to read, analyze and interpret human language. This technology gives chatbots a baseline for understanding language structure and meaning. NLP, in essence, allows the computer to understand what you are asking and how to appropriately respond.

"Chatbots are programmed to simulate human conversation and exhibit intelligent behavior that is equivalent to that of a human," says Moore. "With developments in deep learning and reinforcement learning, chatbots can interpret more complexities in language and improve the dynamic nature of conversation between human and machine." 

Essentially, a chatbot tries to match what you've asked to an intent that it understands. The more a chatbot communicates with you, the more it understands and the more it learns to communicate like you and others with similar questions. Your positive responses reinforce its answers, and then it uses those answers again.

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Chatbot application in analytics.......

Personal assistants like Siri and Alexa are a complex type of chatbot designed to respond to a wide range of scenarios and queries, from current weather and news updates to personal calendars, music selections and random questions. Chatbots with a specific purpose, like steering customer complaints or inquiries, are designed with a more limited scope of potential answers and replies. 

At SAS, we're developing different ways to incorporate chatbots into business dashboards or analytics platforms. These capabilities have the potential to expand the audience for analytics results and attract new and less technical users.

"Chatbots are a key technology that could allow people to consume analytics without realizing that's what they're doing," says Oliver Schabenberger, SAS Executive Vice President, Chief Operating Officer and Chief Technology Officer. "Chatbots create a humanlike interaction that makes results accessible to all."

Bringing chatbot functionality into analytics arrangements provides a number of capabilities that marry analytics with conversational capabilities:

• The chatbot can automatically query and describe large corporate or open data sets. 
• Users can request summarized or analyzed results verbally by saying, for instance, "Which marketing campaigns are generating the most leads this quarter?" 
• The chatbot can provide the answer and then offer additional information or suggest a related report to view based on patterns in the data and in previous related queries. 
• You can ask the chatbot to share the results with others, and that will happen automatically.

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